Evidence map›Paper›PMID 36935601›Full record

ArticleUltrasonography (Seoul, Korea)2023

Impact of preoperative ultrasonography for predicting the prognosis of deceased donor kidney transplantation.

Sang Oh Yun, Kyo Won Lee, Jae Berm Park, Min Jung Kim, Sung Yoon Park, Boram Park

Open access · diamondAbstract read
In one paragraph

Article in Ultrasonography (Seoul, Korea), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 74% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Sang Oh YunDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Kyo Won LeeDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jae Berm ParkDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Min Jung KimDepartment of Surgery, Seoul Medical Center, Seoul, Korea.
Sung Yoon ParkDepartment of Radiology and Center for Imaging Science, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Boram ParkBiomedical Statistics Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea.
Samsung Medical Center · KRSeoul Medical Center · KR

Funding

Ministry of EducationNational Research Foundation of KoreaSungkyunkwan University
6 · The paper itself

Abstract

purposeThis study evaluated the role of donor kidney ultrasonography (US) for predicting functional kidney volume and identifying ideal kidney grafts in deceased donor kidney transplantation.

methodsIn total, 272 patients who underwent deceased donor kidney transplantation from 2000 to 2020 at Samsung Medical Center were enrolled. Donor kidney information (i.e., right or left) was provided to the radiologist who performed US image re-analysis. To binarize each kidney's ultrasound parameters, an optimal cutoff value for estimated glomerular filtration rate (eGFR) of less than 30 mL/min/1.73 m2 within 1 year after kidney transplantation was selected using the receiver operating characteristic curve with a specificity >60%. Cox regression analysis was performed for an eGFR less than 30 mL/min/1.73 m2 within 1 year after kidney transplantation and graft failure within 2 years after kidney transplantation.

resultsThe product of renal length and cortical thickness was a statistically significant predictor of graft function. The odds ratios of an eGFR less than 30 mL/min/1.73 m2 within a year after kidney transplantation and the hazard ratio of graft failure within 2 years after kidney transplantation were 5.91 (P=0.003) and 5.76 (P=0.022), respectively.

conclusionPreoperative US of the donor kidney can be used to evaluate donor kidney function and can predict short-term graft survival. An imaging modality such as US should be included in the donor selection criteria as an additional recommendation. However, the purpose of this study was not to narrow the expanded criteria but to avoid catastrophic consequences by identifying ideal donor kidneys using preoperative US.

Indexed as

Deceased donor kidney transplantationExpanded criteria donorGraft survivalUltrasound

Identifiers

PMID36935601
PMCPMC10071059
OpenAlexW4308298484

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LicenceCC BY-NC
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.